Asanka Abeysinghe, the Chief Technology Officer at WSO2, says many companies are not fully aware of the policies surrounding Gen AI
In the industry landscape, Gen AI has led to significant milestones. We’ve harnessed Gen AI for natural language processing, automated content generation, and advanced data analytics, resulting in efficiency enhancements and the emergence of new capabilities.
Why should companies leverage generative AI?
Companies should embrace generative AI for its pragmatic approach to automation and problem-solving. It’s about getting results efficiently without unnecessary complexities. This approach not only boosts productivity but also elevates the user experience, making it a valuable asset in today’s fast-paced business landscape.
What challenges do companies face adopting Gen AI, and how can they overcome them?
The adoption of Gen AI presents several challenges for companies, including data quality issues, skills gaps in AI expertise, and ethical concerns. To overcome these hurdles, businesses can implement rigorous data-cleaning processes, invest in running and upskilling their workforce, and establish robust ethical frameworks to guide AI usage, ensuring a smoother and more responsible integration of Generative AI into their operations.
Are companies aware of policies around Gen AI?
Many companies are not fully aware of the policies surrounding Gen AI. However, they should prioritize understanding and complying with both local and global regulations to ensure ethical and legal usage of this technology. Staying informed and proactive in addressing policy considerations is vital to navigating the complex landscape of Gen AI.
How can companies use Gen AI for a competitive advantage?
Companies can gain a competitive edge through Gen AI by automating repetitive tasks, freeing up resources for strategic initiatives that drive innovation. Additionally, leveraging AI for in-depth market trend analysis provides invaluable insights, enabling businesses to make informed decisions and stay ahead in a rapidly evolving landscape. This combination of efficiency and market intelligence is a recipe for success.
What prerequisites are there for adopting Gen AI?
A solid foundation in data governance and infrastructure are must-have. A centralized data strategy, exemplified by concepts like DataMesh, can be immensely beneficial. The presence of robust APIs is also critical as they serve as the bridge to seamlessly harness and deploy Gen AI, both for consumption and production, ensuring a successful integration.
How can Gen AI assist in strategic workforce planning?
Gen AI plays a pivotal role in strategic workforce planning by enabling scenario modelling to predict labour trends and identify potential skill gaps. This empowers organizations to make data-driven decisions and simulate entirely new workforce compositions aligned with specific strategic objectives. It’s not just about planning; it’s about crafting a workforce optimized for success.